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rubert_mvp – AI Model by n1kg0r | AlphaNeural AI
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rubert_mvp
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transformers
safetensors
bert
text-classification
generated_from_trainer
DeepPavlov/rubert-base-cased
finetune
text-embeddings-inference
endpoints_compatible
us
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rubert_mvp
This model is a fine-tuned version of
DeepPavlov/rubert-base-cased
on an unknown dataset. It achieves the following results on the evaluation set:
Loss: 0.4511
Mse: 0.4511
Model description
More information needed
Intended uses & limitations
More information needed
Training and evaluation data
More information needed
Training procedure
Training hyperparameters
The following hyperparameters were used during training:
learning_rate: 2e-05
train_batch_size: 8
eval_batch_size: 8
seed: 42
optimizer: Use OptimizerNames.ADAMW_TORCH_FUSED with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
lr_scheduler_type: linear
num_epochs: 3
Training results
Training Loss
Epoch
Step
Validation Loss
Mse
0.8506
1.0
95
0.4740
0.4740
0.5292
2.0
190
0.4301
0.4301
0.3854
3.0
285
0.4511
0.4511
Framework versions
Transformers 4.56.2
Pytorch 2.8.0+cu126
Datasets 4.0.0
Tokenizers 0.22.0
